2020
Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems
CVPR 2020poster
It has been proposed by many researchers that combining deep neural networks with graphical models can create more efficient and better regularized composite models. The main difficulties in implementing this in practice are associated with a discrepancy in suitable learning objectives as well as wi…